I have a repeated measures dataset (8 measurements) with three experimental groups (Randomly generated). The dependent variable (Y) is on a continuous scale bounded inferiorly at 0. I am trying to model the effect of the different groups and time on Y. What would be the appropriate model here? -
- repeated ANOVA is compromised by the non-normal distribution of Y (see histogram - I tried adding a minuscule amount and logging, but still really to no help)
- Mixed linear models are not bounded inferiorly at 0. Perhaps one of the more advanced non-linear mixed models?
- Area under the curves for all timepoints stratified by group?
- Bayesian approaches?